Evolution of Deep Neural Network Architecture Using Particle Swarm Optimization to Improve the Performance in Determining the Friction Angle of Soil

Table 3

An example of data set of the present study.

N°	S	N30	G	e	H	Z1	Z2	ϕ
Unit			kN/m^3		M	m	m	(degree)
1	3	8	18.95	0.846	3.6	4.3	7.9	16.983
2	4	8	19.33	0.782	3.4	1.1	4.5	20.042
3	4	17	19.47	0.765	14	1.2	15.2	22.328
4	3	8	18.90	0.842	3.1	3.2	6.3	15.6
5	7	10	18.82	0.790	4.3	7	11.3	28.18
6	3	8	19.70	0.685	3	1.1	4.1	17
7	3	8	19.70	0.685	3	1.1	4.1	17
8	4	9	19.44	0.796	3.1	0.5	3.6	18.73
9	3	7	18.61	0.887	4.7	3.7	8.4	14.85
10	3	3	19.10	0.806	2.3	12.7	15	15.295
11	3	3	19.10	0.806	2.3	12.7	15	15.295
12	8	50	21.28	0.431	1	11	12	33.4
13	2	4	17.80	1.193	0.8	3.2	4	8.02
14	2	4	17.80	1.193	0.8	3.2	4	8.02
15	4	15	19.18	0.781	3.5	10.5	14	18.2
16	2	2	17.10	1.272	1.5	3.9	5.4	7.03
17	8	24	20.12	0.543	9.5	25.9	35.4	32.8
18	4	13	20.10	0.585	26.4	8.6	35	24.17
19	4	13	20.10	0.585	26.4	8.6	35	24.17
20	8	15	20.90	0.457	6.1	9.4	15.5	32.57
21	3	4	18.98	0.829	4.5	2	6.5	14.533
22	3	4	18.98	0.829	4.5	2	6.5	14.533
23	8	24	19.70	0.690	2.7	28.8	31.5	29.3
24	4	9	19.44	0.752	5.3	0.7	6	18.1
25	8	22	20.20	0.571	6.9	33.1	40	31.03
26	4	19	20.20	0.564	30.15	6.7	36.85	24.2
27	8	26	20.21	0.573	6.4	33.6	40	30.855
28	8	26	20.21	0.573	6.4	33.6	40	30.855
29	3	6	17.78	1.070	15.5	4.5	20	13.854
30	8	12	20.90	0.460	5	55	60	31.75
31	6	50	20.55	0.571	5.6	68.4	74	25.2
32	8	14	20.67	0.477	5.7	33	38.7	31.623
33	5	20	19.38	0.744	5.8	31.5	37.3	20.744
34	8	18	19.52	0.674	3.45	27	30.45	29.08
35	3	7	18.84	0.879	9.3	1.2	10.5	14.572
36	8	12	20.70	0.500	4	7.2	11.2	30.725
37	3	4	18.85	0.851	4	1.5	5.5	13.742
38	3	4	18.85	0.851	4	1.5	5.5	13.742
39	3	7	18.94	0.845	7.7	7	14.7	14.4
40	3	7	18.94	0.845	7.7	7	14.7	14.4
41	3	42	19.40	0.714	5	24.6	29.6	15
42	5	18	19.67	0.705	6.7	0.3	7	20.883
43	5	18	19.67	0.705	6.7	0.3	7	20.883
44	3	10	19.20	0.792	2	10.5	12.5	13.87
45	3	10	19.20	0.792	2	10.5	12.5	13.87
46	4	14	18.30	0.830	5.4	2.4	7.8	16.433
47	8	13	20.26	0.570	13.4	6.6	20	31.205
48	4	22	19.43	0.747	1.2	10	11.2	16.766
49	4	14	18.85	0.792	2.2	5.8	8	16.315
50	8	12	19.15	0.735	3	57	60	27.505